Fan adapter cable for X series.

This cable is suitable for 3 or 4 pin fans

X series with 12 volt fan

X221D Jetson AGX Xavier carrier board (38500)

These systems let you dive into AI with ease. They allow you to explore AI applications like people detection, face masking and more.

The full suite of NVIDIA SDKs may be installed. At your choice these systems can be equipped with the entire family of NVIDIA compute modules in the AGX Xavier form factor.

The X221D features an industrial strength design and is commercially...

Heatspreader for NVIDIA Jetson Xavier NX

ST60-2230C-UU dual mode adapter

This ST60-2230C-UU module is a dual band 2×2 802.11ac WLAN plus Bluetooth 5.1 dual mode adapter; it complies with M.2 2230 E-Key standard.

The module provides both simultaneous and independent operation of the following:

• IEEE 802.11ac (Wave 2), 2×2 receive Multi-User MIMO spatial stream multiplexing with data rates up to MCS9 (866.7 Mbps)
• Bluetooth (Class 1 and Class...

Tiny adapter to interface Framos CSI-2 camera modules with Auvidea carrier boards (with voltage and interface conversion)

In stock

NVIDIA Jetson AGX Xavier Industrial offers top-tier AI performance for industrial and safety applications in a rugged, power-efficient form factor. It provides 20X the performance and 4X the memory of Jetson TX2i, enabling deployment of the latest AI models in challenging environments. Features include extended temperature range, shock and vibration resistance, and functional safety managed by the...

In stock

The Jetson AGX Xavier 64GB module makes AI-powered autonomous machines possible, running in as little as 10W and delivering up to 32 TOPs. Customers can leverage the 64GB memory to store multiple AI models, run complex applications, and enhance their real time pipelines.

As part of the world’s leading AI computing platform, it benefits from the rich set of NVIDIA AI tools and workflows, enabling developers...

In stock

Jetson Xavier NX 16GB delivers up to 21 TOPS for running modern AI workloads, consumes as little as 10 watts of power, and has a compact form factor smaller than a credit card. Customers can leverage the 16GB memory with their real time AI pipelines to run complex applications with multiple neural networks, processing data in parallel from high-resolution sensors. This opens the door for embedded and edge computing...